CN113313370A - Enterprise production resource reasonable allocation cloud manufacturing method based on processing and manufacturing granularity - Google Patents

Enterprise production resource reasonable allocation cloud manufacturing method based on processing and manufacturing granularity Download PDF

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CN113313370A
CN113313370A CN202110556919.9A CN202110556919A CN113313370A CN 113313370 A CN113313370 A CN 113313370A CN 202110556919 A CN202110556919 A CN 202110556919A CN 113313370 A CN113313370 A CN 113313370A
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程强
李德威
初红艳
刘宸菲
张栋杰
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Beijing University of Technology
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Abstract

The invention discloses an enterprise production resource reasonable configuration cloud manufacturing method based on processing and manufacturing granularity. After the supply side enterprise fills all manufacturing resource information of the supply side enterprise on the cloud manufacturing platform, the cloud platform correspondingly converts the manufacturing resources of the enterprise into N processing and manufacturing granularities. The enterprise needing outsourcing issues and decomposes outsourcing tasks on the cloud platform and correspondingly converts the outsourcing tasks into required processing and manufacturing granularity, the cloud platform is scheduled according to the processing types and the processing and manufacturing granularity of the enterprise and the tasks, one enterprise can receive a plurality of subtasks for processing at the same time, and the full utilization and reasonable configuration of enterprise manufacturing resources are fully achieved.

Description

Enterprise production resource reasonable allocation cloud manufacturing method based on processing and manufacturing granularity
Technical Field
The invention relates to the technical field of cloud manufacturing, in particular to a cloud manufacturing method for reasonably allocating enterprise production resources based on processing and manufacturing granularity.
Background
The manufacturing industry has been receiving attention from all countries as an important component in the global industrial structure, and in recent years, with the rapid development of global informatization, the concept and form of cloud manufacturing have come into play. Cloud manufacturing is used as a combination of traditional manufacturing industry and advanced information technology, and manufacturing resources and manufacturing capacity sharing among different enterprises are achieved. The cloud manufacturing method realizes digital packaging and integration and release of manufacturing resources and manufacturing capacity of different enterprises through an informatization technology, solves the problem of uneven distribution of manufacturing resources, solves the problem of resource shortage of small and medium-sized enterprises, and solves the problems of low resource utilization and long-term idle of large enterprises.
Cloud manufacturing is mainly composed of three roles, namely a supply-side service provider, a demand-side service provider and a cloud manufacturing platform. The different service providers at the supply side can process different services with different scales and types because of different enterprise scales, different manufacturing resources and different manufacturing capabilities. At present, a common cloud manufacturing method is that an enterprise encapsulates own manufacturing resources and then enters a cloud platform resource pool to wait for allocation and release of tasks. In the method, each enterprise can only receive one task, and for enterprises with larger scale and more resources, the resources occupied by processing the task are eliminated and the residual resources exist, so that the idle and waste of enterprise processing resources are caused.
Disclosure of Invention
The invention provides an enterprise production resource reasonable allocation cloud manufacturing method based on processing and manufacturing granularity, which is a brand new cloud manufacturing method aiming at the problem that redundant processing resources are idle and wasted after an enterprise with more manufacturing resources receives a subtask.
An enterprise production resource reasonable allocation cloud manufacturing method based on processing and manufacturing granularity mainly comprises the following steps:
step 1: the enterprise fills all the manufacturing information of the enterprise on the cloud manufacturing platform;
and processing resources and processing types of the human resources, the equipment resources, the software resources and the material resources owned by the enterprise are filled and reported by the enterprise on the cloud platform according to the platform resource description rule. The resources are described in detail as follows:
human resources: the cloud manufacturing platform takes the number of people as a measuring unit.
Equipment resources: the equipment machine required by machining and manufacturing is divided into two types of common machine tools and numerically-controlled machine tools (the machine tools are general names of grinding machines, milling machines, drilling machines, lathes and the like), and as the machining capacity of the numerically-controlled machine tools is higher than that of the common machine tools, 1 numerically-controlled machine tool can be converted into 2 common machine tools in terms of machining capacity, and the number of the numerically-controlled machine tools is taken as a metering unit of a cloud manufacturing platform.
Software resources: and processing and manufacturing required software, wherein the cloud manufacturing platform takes the number of the software as a metering unit.
Material resources: processing and manufacturing required blanks, raw materials and the like, wherein the cloud manufacturing platform takes the unit cubic meter blank as a metering unit.
Step 2: correspondingly converting enterprise manufacturing resources into n processing and manufacturing granularities;
the present invention defines the process fabrication particle size as: the processing and manufacturing resources consumed by enterprises for processing unit cubic meter blanks.
The cloud manufacturing platform is converted into the corresponding processing granularity of the enterprise through a formula, wherein the conversion formula is in the following form:
x numerical control machine tool + Y individuals + Z pieces of software + R unit cubic meter blanks as N processing particle sizes
And step 3: the enterprise needing outsourcing issues and decomposes outsourcing tasks on the cloud platform and correspondingly converts the outsourcing tasks into the required processing and manufacturing granularity;
and uploading the processing total task to a cloud manufacturing platform by an enterprise needing outsourced processing, dividing and decomposing the processing total task according to the functional module and the product structure of the product to be processed after uploading the total task to the cloud manufacturing platform, decomposing the same type of components on the same module or part into subtasks of the same grade to perform task decomposition, decomposing the total task into a plurality of subtasks, and filling the processing and manufacturing granularity of the subtasks and selecting the processing type by the enterprise according to the conversion formula in the step 2.
And 4, step 4: the cloud platform carries out scheduling according to the processing types and the processing and manufacturing granularities of enterprises and tasks;
the cloud manufacturing platform carries out primary matching scheduling according to the machinable type of each enterprise, the owned machining and manufacturing granularity, the machining type of the subtasks and the required granularity, the matching principle is that the machining types are the same, the machining and manufacturing granularity of the enterprises is larger than the machining and manufacturing granularity required by the subtasks, and only one subtask is matched with one enterprise in the primary matching scheduling. And after the primary matching is finished, if the remaining subtasks are not distributed for re-matching scheduling, the matching principle is that the processing types are the same and the remaining processing and manufacturing granularity of the enterprise is larger than the processing and manufacturing granularity required by the subtasks, and the matching is carried out for multiple times until the subtasks are completely matched or the remaining granularity and the types of the platform enterprise are not enough to match the remaining subtasks. And after the enterprise finishes processing the current subtask, the processing and manufacturing granularity occupied by the task is released into the resource pool, and a new task is rescheduled and matched.
The invention classifies and defines the manufacturing resources directly related to processing of a supply side enterprise, and provides a conversion presentation form for packaging the manufacturing resources of the enterprise into processing and manufacturing granularity. After the platform decomposes the tasks released by the enterprise on the demand side into subtasks, the subtasks are matched with the resources of the enterprise on the supply side in the mode of processing and manufacturing granularity. And if the enterprise finishes matching one subtask and continues matching the subtask if the redundant processing and manufacturing granularity remains, one enterprise can receive a plurality of subtasks for processing at the same time.
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The invention is further described with reference to the accompanying drawings and specific embodiments.
FIG. 1 is a flow chart of a manufacturing method for reasonably allocating cloud production resources of an enterprise based on processing and manufacturing granularity according to the present invention;
FIG. 2 is a scheduling flow diagram of a cloud manufacturing platform;
Detailed Description
As shown in fig. 1, the method for manufacturing the cloud with reasonable allocation of enterprise production resources based on the processing and manufacturing granularity provided by the invention mainly comprises the following steps:
step 1: the method comprises the following steps that a supply side enterprise fills all manufacturing information of the supply side enterprise on a cloud manufacturing platform;
and processing resources and processing types of the human resources, the equipment resources, the software resources and the material resources owned by the enterprise are filled and reported by the enterprise on the cloud platform according to the platform resource description rule.
Step 2: the cloud platform correspondingly converts the enterprise manufacturing resources into N processing and manufacturing granularities;
the cloud manufacturing platform is converted into the corresponding processing and manufacturing granularity of the enterprise through a formula, wherein the conversion formula is in the following form:
x numerical control machine tool + Y individuals + Z pieces of software + R unit cubic meter blanks as N pieces of processing and manufacturing granularity
And step 3: the enterprise needing outsourcing issues and decomposes outsourcing tasks on the cloud platform and correspondingly converts the outsourcing tasks into the required processing and manufacturing granularity;
and uploading the processing total task to a cloud manufacturing platform by an enterprise needing outsourced processing, dividing and decomposing the processing total task according to the functional module and the product structure of the product to be processed after uploading the total task to the cloud manufacturing platform, decomposing the same type of components on the same module or part into subtasks of the same grade to perform task decomposition, decomposing the total task into a plurality of subtasks, and filling the processing and manufacturing granularity of the subtasks and selecting the processing type by the enterprise according to the conversion formula in the step 2.
And 4, step 4: the cloud platform carries out scheduling according to the processing types and the processing and manufacturing granularities of enterprises and tasks;
as shown in fig. 2, the cloud manufacturing platform decomposes the subtasks in the resource pool and the filled enterprises to perform initial matching scheduling according to the processing type and the processing and manufacturing granularity, the matching principle is that the processing type is the same and the processing and manufacturing granularity of the enterprises is larger than the processing and manufacturing granularity required by the subtasks, and only one subtask is matched by one enterprise in the initial matching scheduling. And after the primary matching is finished, if the remaining subtasks are not distributed for re-matching scheduling, the matching principle is that the processing types are the same and the remaining processing and manufacturing granularity of the enterprise is larger than the processing and manufacturing granularity required by the subtasks, and the matching is carried out for multiple times until the subtasks are completely matched or the remaining granularity and the types of the platform enterprise are not enough to match the remaining subtasks. And after the enterprise finishes processing the current subtask, the processing and manufacturing granularity occupied by the task is released into the resource pool, and a new task is rescheduled and matched.
And 5: the product is delivered after being processed;
after the product processing is finished, the supply side enterprise gives the demand side enterprise, the processed product is evaluated, and the priority of the next order receiving of the supply side enterprise is influenced by the level of the evaluation coefficient.

Claims (5)

1.一种基于加工制造粒度的企业生产资源合理配置云制造方法，其特征在于，包括：1. a cloud manufacturing method based on the rational allocation of enterprise production resources of processing and manufacturing granularity, is characterized in that, comprises: 步骤1：企业在云制造平台上将自身所有的制造信息进行填报；Step 1: The enterprise fills in all its manufacturing information on the cloud manufacturing platform; 企业在云平台上根据平台资源描述规则将自身所拥有的人力资源、设备资源、软件资源和物料资源进行加工资源以及加工类型填报；The enterprise fills in the processing resources and processing types of its own human resources, equipment resources, software resources and material resources on the cloud platform according to the platform resource description rules; 步骤2：将企业制造资源对应转换为N个加工制造粒度；Step 2: Convert the enterprise manufacturing resources into N processing and manufacturing granularities; 云制造平台通过公式转换成企业对应加工粒度，其中转换公式形式如下：The cloud manufacturing platform converts the formula into the corresponding processing granularity of the enterprise. The conversion formula is as follows: X台数控机床+Y个人+Z个软件+R单位立方米毛坯＝N个加工制造粒度X sets of CNC machine tools + Y individuals + Z pieces of software + R units of cubic meters of blanks = N pieces of processing and manufacturing granularity 步骤3：需外协的企业在云平台进行外协任务的发布与分解，并对应转换为所需加工制造粒度；Step 3: Enterprises that need outsourcing will publish and decompose outsourcing tasks on the cloud platform, and correspondingly convert them into the required processing and manufacturing granularity; 需要进行外协加工的企业将加工总任务上传到云制造平台，总任务上传到云制造平台后按照云平台的分解规则进行总任务分解，将总任务分解为多个子任务，企业根据转换公式进行子任务的加工制造粒度填写以及加工类型的选择；Enterprises that need outsourced processing upload the total processing tasks to the cloud manufacturing platform. After the total tasks are uploaded to the cloud manufacturing platform, the total tasks are decomposed according to the decomposition rules of the cloud platform, and the total tasks are decomposed into multiple sub-tasks. Fill in the processing and manufacturing granularity of sub-tasks and select the processing type; 步骤4：云平台根据企业与任务的加工类型及加工制造粒度进行调度；Step 4: The cloud platform performs scheduling according to the processing type and processing and manufacturing granularity of the enterprise and task; 云制造平台首先根据每个企业可加工类型以及拥有的加工制造粒度和子任务的加工类型和所需粒度进行初次匹配调度，匹配原则为加工类型相同且企业的加工制造粒度大于子任务所需要的加工制造粒度，初次匹配调度一个企业只匹配一个子任务；初次匹配结束后若有剩余子任务还未分配进行重匹配调度，匹配原则为加工类型相同且企业剩余加工制造粒度大于子任务需要的加工制造粒度，多次匹配直至子任务全部匹配完毕或平台企业剩余粒度和类型不足以匹配剩余子任务；企业加工完当前子任务后此任务占用的加工制造粒度释放入资源池，重新调度匹配新任务。The cloud manufacturing platform first performs the initial matching and scheduling according to the processing type and the processing and manufacturing granularity of each enterprise and the processing type and required granularity of the sub-task. The matching principle is that the processing type is the same and the processing and manufacturing granularity of the enterprise is greater than the processing required by the sub-task. Manufacturing granularity, the first matching and scheduling of an enterprise only matches one sub-task; after the initial matching, if there are remaining sub-tasks that have not been allocated for re-matching scheduling, the matching principle is that the processing type is the same and the remaining processing and manufacturing granularity of the enterprise is greater than the processing and manufacturing required by the sub-task. The granularity is matched multiple times until all subtasks are matched or the remaining granularity and type of the platform enterprise are not enough to match the remaining subtasks; after the enterprise finishes processing the current subtask, the processing and manufacturing granularity occupied by this task is released into the resource pool, and new tasks are rescheduled to match. 2.根据权利要求1所述的一种基于加工制造粒度的企业生产资源合理配置云制造方法，其特征在于：在步骤1中所述的人力资源、设备资源、软件资源、物料资源具体描述如下：2. a kind of enterprise production resource rational allocation cloud manufacturing method based on processing and manufacturing granularity according to claim 1, it is characterized in that: human resources, equipment resources, software resources, material resources described in step 1 are specifically described as follows : 人力资源：加工制造直接相关的人员，云制造平台以人数为计量单位；Human resources: personnel directly related to processing and manufacturing, the cloud manufacturing platform uses the number of people as the unit of measurement; 设备资源：加工制造所需要的设备机器，将所有加工设备分为普通机床和数控机床两种类型，由于数控机床的加工能力比普通机床的加工能力要强，故就加工能力来说1台数控机床可转换成2台普通机床，云制造平台以数控机床台数为计量单位；Equipment resources: The equipment and machines required for processing and manufacturing. All processing equipment is divided into two types: ordinary machine tools and CNC machine tools. Since the processing capacity of CNC machine tools is stronger than that of ordinary machine tools, in terms of processing capacity, one CNC machine tool is used. It can be converted into 2 ordinary machine tools, and the cloud manufacturing platform takes the number of CNC machine tools as the unit of measurement; 软件资源：加工制造所需要的软件，云制造平台以软件个数为计量单位；Software resources: the software required for processing and manufacturing, the cloud manufacturing platform uses the number of software as the unit of measurement; 物料资源：加工制造所需要的毛坯、原材料等，云制造平台以单位立方米毛坯为计量单位。Material resources: the blanks, raw materials, etc. required for processing and manufacturing. The cloud manufacturing platform uses the unit cubic meter of blanks as the unit of measurement. 3.根据权利要求2所述的一种基于加工制造粒度的企业生产资源合理配置云制造方法，其特征在于：在步骤2中所述的加工制造粒度定义为企业加工单位立方米的毛坯所需消耗的企业制造资源。3. a kind of enterprise production resource rational allocation cloud manufacturing method based on processing and manufacturing granularity according to claim 2, it is characterized in that: the processing and manufacturing granularity described in step 2 is defined as the rough required by the enterprise processing unit cubic meter Consumed enterprise manufacturing resources. 4.根据权利要求1所述的一种基于加工制造粒度的企业生产资源合理配置云制造方法，其特征在于：在步骤3中所述的云制造平台分解规则为按所需加工产品功能模块与产品结构划分分解，同一个模块或部件上同类元器件分解成同一等级的子任务。4. a kind of enterprise production resource rational allocation cloud manufacturing method based on processing and manufacturing granularity according to claim 1, it is characterized in that: the cloud manufacturing platform decomposition rule described in step 3 is according to required processing product function module and The product structure is divided and decomposed, and similar components on the same module or component are decomposed into subtasks of the same level. 5.根据权利要求1所述的一种基于加工制造粒度的企业生产资源合理配置云制造方法，其特征在于：在步骤4中企业与子任务匹配过程中，加工类型为第一匹配优先级，加工类型匹配完毕后在进行加工制造粒度的匹配。5. The cloud manufacturing method for rationally disposing enterprise production resources based on processing and manufacturing granularity according to claim 1, characterized in that: in step 4, in the matching process between the enterprise and the subtask, the processing type is the first matching priority, After the processing type is matched, the processing and manufacturing particle size matching is performed.
CN202110556919.9A 2021-05-21 2021-05-21 Enterprise production resource reasonable allocation cloud manufacturing method based on processing and manufacturing granularity Pending CN113313370A (en)

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